Instructions to use MCES10/code-gen-gemma-2-2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use MCES10/code-gen-gemma-2-2b-it with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("MCES10/code-gen-gemma-2-2b-it", set_active=True) - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MCES10/code-gen-gemma-2-2b-it: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/MCES10/code-gen-gemma-2-2b-it/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://MCES10/code-gen-gemma-2-2b-it@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MCES10/code-gen-gemma-2-2b-it/resolve/refs%2Fpr%2F1/tokenizer.json
34.4 MB
- Xet hash:
- afa78551f6fdaff5671645d2394d4478e28255203cd7456448b0da82ae0a3ba8
- Size of remote file:
- 34.4 MB
- SHA256:
- 5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
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